class_docstr: Smallnorb data set.
docstr: Returns splits.
docstr_tok: ["Returns","splits","."]
code: def _split_generators(self, dl_manager):
      """Returns splits."""
      filenames = {
          "training_dat": _TRAINING_URL_TEMPLATE.format(type="dat"),
          "training_cat": _TRAINING_URL_TEMPLATE.format(type="cat"),
          "training_info": _TRAINING_URL_TEMPLATE.format(type="info"),
          "testing_dat": _TESTING_URL_TEMPLATE.format(type="dat"),
          "testing_cat": _TESTING_URL_TEMPLATE.format(type="cat"),
          "testing_info": _TESTING_URL_TEMPLATE.format(type="info"),
      }
  
      files = dl_manager.download_and_extract(filenames)
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs=dict(
                  split_prefix="train_",
                  dat_path=files["training_dat"],
                  cat_path=files["training_cat"],
                  info_path=files["training_info"],
              ),
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs=dict(
                  split_prefix="test_",
                  dat_path=files["testing_dat"],
                  cat_path=files["testing_cat"],
                  info_path=files["testing_info"],
              ),
          ),
      ]
  
file_path: datasets/tensorflow_datasets/datasets/smallnorb/smallnorb_dataset_builder.py
imports: import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the Builder obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list